Infrared and visible image fusion via parallel scene and texture learning-Reference-Cited by-同舟云学术

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Infrared and visible image fusion via parallel scene and texture learning

Published:2022-12 Issue: Volume:132 Page:108929
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Xu Meilong,Tang Linfeng,Zhang Hao,Ma Jiayi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference48 articles.

1. Polarization image fusion with self-learned fusion strategy;Zhang;Pattern Recognit.,2021

2. Exploring a unified low rank representation for multi-focus image fusion;Zhang;Pattern Recognit.,2021

3. Defocus blur detection via boosting diversity of deep ensemble networks;Zhao;IEEE Trans. Image Process.,2021

4. Joint sparse-collaborative representation to fuse hyperspectral and multispectral images;Xing;Signal Process.,2020

5. Infrared and visible image fusion methods and applications: a survey;Ma;Inf. Fusion,2019

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1. A three-dimensional feature-based fusion strategy for infrared and visible image fusion;Pattern Recognition;2025-01

2. MSCS: Multi-stage feature learning with channel-spatial attention mechanism for infrared and visible image fusion;Infrared Physics & Technology;2024-11

3. Semantic attention-based heterogeneous feature aggregation network for image fusion;Pattern Recognition;2024-11

4. SeACPFusion: An Adaptive Fusion Network for Infrared and Visible Images based on brightness perception;Infrared Physics & Technology;2024-11

5. MGFA : A multi-scale global feature autoencoder to fuse infrared and visible images;Signal Processing: Image Communication;2024-10

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